Our Data Analytics and AI Work in Atlanta
- Data strategy development connecting analytics investments to specific Atlanta business outcomes and the decisions your leadership team needs to make better
- Data warehouse design and implementation consolidating data from CRM, ERP, marketing tools, and operational platforms into a single source of truth
- ETL pipeline development for reliable automated data movement and transformation from Atlanta businesses' diverse technology stacks
- Business intelligence dashboards for operations, sales, marketing, and executive teams, designed around the metrics Atlanta leadership teams actually manage to
- Healthcare analytics for Emory affiliates, Piedmont, Children's Healthcare, and Atlanta health technology companies, with HIPAA-compliant data architecture
- Fintech and financial services analytics for Atlanta's payment technology and financial services companies, including transaction analysis and risk modeling
- Customer segmentation, churn prediction, and retention modeling for Atlanta's SaaS and subscription businesses
- Logistics and supply chain analytics for Southeast distribution operations, including route optimization, carrier performance, and demand forecasting
- Predictive analytics and machine learning model development and production deployment
- A/B testing and experimentation frameworks for Atlanta's product and marketing teams
- Data quality programs and governance framework development for Atlanta companies building serious analytics operations
Industries We Serve in Atlanta
Healthcare and Life Sciences Emory Healthcare, Piedmont, Children's Healthcare of Atlanta, and the city's growing health technology sector use analytics to improve patient outcomes, optimize bed utilization, reduce readmissions, and manage the complex cost accounting of large healthcare networks. We build HIPAA-compliant healthcare analytics environments that connect clinical and operational data in a unified reporting layer.
Financial Services and Fintech Atlanta's payment technology and financial services companies use analytics for transaction monitoring, fraud detection, enterprise client performance reporting, and regulatory compliance. NCR Voyix, Global Payments, and the broader Atlanta fintech ecosystem set a high bar for analytical sophistication. We build financial services analytics infrastructure for Atlanta companies competing at that level.
Logistics and Supply Chain Hartsfield-Jackson and Atlanta's Southeast distribution hub position generate logistics companies with significant analytics needs: route optimization, carrier performance tracking, demand forecasting, and customer delivery analytics. We build logistics analytics systems for Atlanta freight and supply chain companies.
Technology and SaaS Atlanta's growing SaaS sector, accelerated by Georgia Tech's commercialization programs, produces software companies that need product analytics, customer health scoring, churn prediction, and usage analytics built into their operational infrastructure. We build data analytics for Atlanta's technology companies.
Retail and Consumer Goods Atlanta's retail companies and consumer brands use customer analytics for segmentation, personalization, retention modeling, and multi-channel performance measurement. We build customer analytics environments for Atlanta's retail and consumer goods businesses.
Manufacturing and Industrial Atlanta's manufacturing base uses production analytics for OEE tracking, quality monitoring, and supply chain performance. We build manufacturing analytics for Atlanta's industrial companies.
What to Expect
Discovery We identify the specific decisions your leadership team needs to make better and the data that exists to support those decisions. This produces an analytics strategy that prioritizes initiatives by business impact before technology selection.
Strategy and Architecture We design the data warehouse architecture, ETL pipeline approach, and analytics tool stack. For regulated industries, compliance requirements are designed into the data infrastructure from the start.
Implementation We deliver analytics incrementally. You have working dashboards and reports within the first eight to twelve weeks, not after a months-long infrastructure build.
Results and Iteration Post-launch adoption tracking, dashboard refinement, and a structured period for adding analytics capabilities. Optional ongoing retainers for model maintenance, new data source integration, and advanced analytics development.
